Reliability properties of bivariate conditional proportional hazard rate models

Jorge Navarro and José María Sarabia ()

Journal of Multivariate Analysis, 2013, vol. 113, issue C, 116-127

Abstract: In this paper, we study reliability properties in two classes of bivariate continuous distributions based on specification of conditional hazard functions. These classes were constructed by conditioning on two different kinds of events in Arnold and Kim [6]. Several reliability properties are studied here including survival and hazard bivariate functions, hazard components, the Clayton–Oakes measure, and conditional densities and hazard rate functions of the marginal and conditional distributions. We also study properties for the series and parallel systems with component lifetimes having these particular dependence models.

Keywords: Bivariate exponential distribution; Conditionally specified distributions; Dependence measures; Failure rate; Hazard gradient (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0047259X11000479
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jmvana:v:113:y:2013:i:c:p:116-127

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.jmva.2011.03.009

Access Statistics for this article

Journal of Multivariate Analysis is currently edited by de Leeuw, J.

More articles in Journal of Multivariate Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().